Uji Sensitivitas Metode Aras Dengan Pendekatan Metode Pembobotan Kriteria Sahnnon Entropy Dan Swara Pada Penyeleksian Calon Karyawan

Penelitian ini melakukan uji sensitivitas metode Additive Ratio Assessment (ARAS) pada penyeleksian calon karyawan dengan pendekatan pembobotan kriteria menggunakan metode Shannon Entropy dan metode Stepwise Weight Assessment Ratio Analysis (SWARA) yang bertujuan untuk mengukur seberapa sensitif metode ini jika diterapkan pada sebuah kasus pengambilan keputusan. Data yang digunakan ialah data penyeleksian calon karyawan. Uji Sentitivitas pada penelitian ini digunakan untuk mengetahui metode yang lebih sensitif saat diterapkan pada suatu kasus. Metode perangkingan menggunakan ARAS karena metode perangkingan ini memiliki fungsi utilitas dan nilai optimalisasi. Metode Shannon Entropy bobot kriteria diperoleh berdasarkan perhitungan data alternatif penyeleksian karyawan, sedangkan metode SWARA bobot kriteria diperoleh dari pakar atau si pengambil keputusan. Hasil penelitian ini menunjukkan bahwa metode yang paling sensitif dengan kasus penyeleksian calon karyawan adalah metode SWARA-ARAS yang pemberian bobotnya berdasarkan pakar atau si pengambil keputusan dengan hasil sebesar 91,24203% lebih tinggi dibandingkan metode Shannon Entropy-ARAS yang hasil sebesar 74,75263%

An integrated SWOT–extended PIPRECIA model for identifying key determinants of tourism development: The case of Serbia

This paper proposes a new integrated model based on SWOT and extended PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) that offers a systematic approach to strategic planning in tourism. The applicability of the proposed integrated model is demonstrated through a case study defining the main determinants of tourism development in Serbia. The result emphasizes the strategy Improving the organization, management, and enhancement of tourism development as the highest priority for implementation. The model facilitates decision-making in tourism, and its key advantages are its suitability for application in group decision-making and its simplicity

Evaluation of Gender Equality Criteria Related to Social Sustainability in Ports

Ports are developing sustainability frameworks in order to cope with latest requirements from the stakeholders. Economic, environmental and social dimensions of sustainability are the three pillars of the topic. Although economic and environmental aspects of sustainability in ports are widely researched in the literature, the social dimension of gender equality research is scarce. To fill the gap, it is important to identify the most important efforts for improving gender equality in ports. The aim of this study is to evaluate the gender equality criterias by port executives in terms of social sustainability. For this purpose, one of the Multi-Criteria Decision Making (MCDM) methods, Step-wise Weight Assessment Ratio Analysis (SWARA) was used to evaluate the priority weights of five criterias in Turkey.  The results show that recruitment policy is the most important criteria in the field. Therefore, some suggestions are made to port industry to become more socially sustainable by minimizing the gender gap

A Multi-criteria Assessment Approach for the Evaluation of Railway Transport in the Balkan Region

The Balkan region has an important geostrategic position in passenger and freight transport between Europe and Asia. This paper studies the development of railway transport on twelve different railway transport markets in the Balkan region. The methodology is based on multi-criteria assessment of the level of railway development. The approach presented in this paper could help railway companies to make decisions about railway transport services. The methodology includes three steps. In the first step, the quantitative and qualitative criteria for the evaluation of the social, economic, infrastructural and technological impact of the level of development of railway transport have been defined. In the second step, the weights of criteria have been determined using both objective and subjective approaches by applying the Shannon Entropy method and the Stepwise Weight Assessment Ratio Analysis (SWARA) method. The third step presents the ranking of the countries by applying three multi-criteria methods – VIse Kriterijumska Optimizacija i kompromisno Resenje (VIKOR), Weighted Aggregated Sum Product Assessment (WASPAS) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), which are different in their approaches. The results show that the criteria: maximum train technical speed (13%), ERTMS Level (10%), number of train kilometres per year (9%) and Ro-La intermodal service (9%) have a great importance in the ranking. It was found that the most developed railway transports in the Balkan region are Turkey, Croatia, Slovenia, and Romania.</p

Identification and Prioritization of Energy Consumption Optimization Strategies in the Building Industry Using the Hybrid SWARA-BIM Model

Energy consumption in buildings has become one of the most critical problems in all countries and principles of sustainability suggest that a satisfactory solution must be found to reduce energy consumption. This study aims to identify and prioritize energy consumption optimization strategies in buildings. Data collection consists of gather-ing primary data from the existing literature and secondary data from interviews, questionnaires, and simulations through building information modeling (BIM) tools. Twenty-nine strategies were identified and categorized into five groups according to their nature and ranked using one of the multiple criteria decision-making (MCDM) methods called the step-wise weight assessment ratio analysis (SWARA). A case study building in Shiraz, Iran, was simulated using BIM software, and the energy saving potential of the highest ranked strategies were obtained. According to the results, significant contributors to the energy consumption optimization were “Using renewable energy resources,” “Using efficient insulation,” and “Using suitable materials,” providing 100%, 35%, and 23% efficacy, respectively. The results obtained from this study can inform the building industry’s key stakeholders regarding the best strategies to apply in order to reduce energy consumption and improve sustainability in the construction industry

COVID-19 crisis and resilience of tourism SME’s: a focus on policy responses

the resilience of small and medium-sized tourism enterprises during crisis periods. Proper selection and implementation of these policies is one of the major challenges facing tourism policy makers. The aim of this article is to propose a systematic framework for selecting government supportive policies that contribute effectively to resilience improvements of tourism SMEs during the COVID-19 disaster. After reading the international reports of the COVID-19 disaster carefully and using similar research findings in past disasters as the preliminary stage of framework development, a comprehensive list of country-based recovery policy responses as well as the critical success factors (CSFs) of tourism SMEs in the crisis recovery phase was extracted and then finalized in an expert-oriented process. In the next stage, the Z-SWARA was applied to weigh the CSFs. Then, four Z-MADM methods were implemented to rank the alternatives, and finally, the results were compounded with BORDA technique. The results of implementing the proposed framework in Iran’s tourism industry show that Disaster management planning capability, as well as Marketing management are the most important CSFs. Also, financial support including direct lending and grants and subsidies to SMEs have been identified as the most effective governments’ supportive policies to recover tourism SMEs in the post-disaster phase. Generally, these results have valuable implications for different stakeholders such as policymakers, practitioners and researchers in the tourism industr

Identifying and prioritizing cost reduction solutions in the supply chain by integrating value engineering and gray multi-criteria decision-making

Value engineering is an appropriate policy for creating and improving value, which reduces unnecessary costs and maintains core functionality. Despite the mentioned benefits, this approach has so far received little attention in the area of supply chain management. Although this approach is highly structured, limitations such as overemphasizing the cost criterion and failure to meet other criteria, utilizing team members’ votes to rank solutions, ignoring inherent uncertainty and ultimately disagreement between value engineering team members have reduced the effectiveness of this approach. The present study aims to provide a coherent framework for utilizing a value engineering approach to supply chain cost management and overcome the aforementioned limitations by utilizing gray multi-criteria decision-making. In this regard, in the first phase, the initial list of improvement solutions is determined, the criteria extracted from the literature are localized using value engineering team members’ opinion. These criteria are weighted using the gray stepwise weight assessment ratio analysis (SWARA-Gray) method. Then, the score of each solution is calculated by the value engineering team based on the list of criteria as a gray number. The scores are aggregated using the gray evaluation based on distance from average solution (EDAS-Gray) method, and the solutions are prioritized. Finally, the application of the proposed framework is investigated in a real case study in a power plant in Iran. The results of the research show that the final rankings of the solutions rarely changed for different methods; so the model used in this study has acceptable stability. First published online 24 September 202

A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse

Blockchain technology and metaverse advancements allow people to create virtual personalities and spend time online. Integrating public transportation into the metaverse could improve services and collect user data. This study introduces a hybrid decision-making framework for prioritizing sustainable public transportation in Metaverse under q-rung orthopair fuzzy set (q-ROFS) context. In this regard, firstly q-rung orthopair fuzzy (q-ROF) generalized Dombi weighted aggregation operators (AOs) and their characteristics are developed to aggregate the q-ROF information. Second, a q-ROF information-based method using the removal effects of criteria (MEREC) and stepwise weight assessment ratio analysis (SWARA) models are proposed to find the objective and subjective weights of criteria, respectively. Then, a combined weighting model is taken to determine the final weights of the criteria. Third, the weighted sum product (WISP) method is extended to q-ROFS context by considering the double normalization procedures, the proposed operators and integrated weighting model. This method has taken the advantages of two normalization processes and four utility measures that approve the effect of benefit and cost criteria by using weighted sum and weighted product models. Next, to demonstrate the practicality and effectiveness of the presented method, a case study of sustainable public transportation in metaverse is presented in the context of q-ROFSs. The findings of this study confirms that the proposed model can recommend more feasible performance while facing numerous influencing factors and input uncertainties, and thus, provides a wider range of application

Penerapan Metode SWARA-ELECTRE Dalam Pemilihan Penerima Bantuan Sosial Kelompok Usaha Bersama (KUBE)

Kelompok Usaha Bersama (KUBE) merupakan bentuk bantuan sosial pemerintah untuk membantu masyarakat yang kurang mampu. Saat ini, proses seleksi calon penerima bantuan KUBE masih dilakukan secara manual, sehingga membutuhkan waktu yang lama dan rentan terhadap kesalahan atau kecurangan. Untuk mengatasi hal tersebut, penelitian ini mengembangkan sebuah sistem pendukung keputusan menggunakan metode Stepwise Weight Assessment Ratio Analysis dan Elimination ET Choix Traduisant LA Realite untuk membantu karyawan di bidang Penanganan Fakir Miskin Dinas Sosial Garut dalam melakukan seleksi calon penerima bantuan. Sistem ini memanfaatkan metode SWARA untuk menetapkan bobot kriteria pada pemilihan penerima bantuan KUBE dan metode ELECTRE untuk perangkingan alternatif. Metode SWARA mengevaluasi pentingnya tiap kriteria, sementara metode ELECTRE membandingkan alternatif berdasarkan kriteria yang sama. Gabungan kedua metode ini meningkatkan efisiensi dan ketepatan seleksi, mengurangi risiko kesalahan dan kecurangan yang mungkin terjadi dalam proses manual sebelumnya. Hasil penelitian menyimpulkan bahwa sistem ini berhasil memberikan rekomendasi alternatif penerima bantuan KUBE dengan perolehan poin sebanyak 3 yaitu Domba Sagara 2 yang berada pada peringkat pertama, Domba Sagara 1 pada peringkat kedua, dan Berkah Wijaya pada peringkat ketiga. Metode Stepwise Weight Assessment Ratio Analysis terbukti mampu menghitung bobot kriteria dengan akurat, sedangkan metode Elimination ET Choix Traduisant LA Realite efektif dalam melakukan perangkingan pada alternatif dengan baik. Selain itu, sistem ini juga mencapai tingkat akurasi sebesar 90% berdasarkan perhitungan menggunakan confusion matrix. Penelitian ini memberikan kontribusi penting dalam meningkatkan efisiensi dan keakuratan proses seleksi penerima bantuan sosial KUBE